ESPE2018 Poster Presentations Fat, Metabolism and Obesity P2 (58 abstracts)
Introduction: Increased adiposity has been associated with smoldering systemic inflammation and metabolic syndrome manifestations, leading to further morbidity by increasing the risk for type 2 diabetes mellitus and cardiovascular disease in adults. Similar analyses have not been performed systematically in children and adolescents.
Hypothesis: This study investigates the interrelations between body composition parameters and indices of inflammation and metabolic syndrome.
Methods: One hundred twenty-one normal weight (40), overweight (22) and obese (59) children and adolescents (43 boys and 78 girls) were studied: Normal weight BMI z-score −0.1923±0.6, Overweight BMI z-score 0.922±0.4 and obese BMI z-score 2.669±1.3 children aged 515 years. Medical history, physical examination and anthropometry were obtained by a certified pediatrician. Body composition analysis was performed using an advanced bioimpedance apparatus (BIA-ACC, Biotekna Co, Venice, Italy) and fasting blood samples were withdrawn for measuring serum inflammatory and metabolic markers.
Results: Body fat mass (BFM) both as an absolute value in Kg and as a percentage of body mass was positively associated with morning fasting insulin (P=0.000 and P=0.000 respectively), hsCRP (P=0.000 and P=0.000, respectively), ferritin (P=0.014 and P=0.002, respectively), uric acid (P=0.000 and P=0.000 respectively), triglycerides (P=0.000 and P=0.000, respectively), SGPT (P=0.042 and P=0.006, respectively) and γGT(P=0.000 and P=0.000, respectively) concentrations. BFM as an absolute value in Kg and as a percentage was negatively associated with high density lipoprotein (P=0.002 and P=0.000, respectively) and iron (P=0.002 and P=0.000, respectively) concentrations. Extracellular water percentage was positively associated with insulin (P=0.000) and hsCRP (P=0.011), while skeletal muscle mass both as an absolute value in Kg and as a percentage (%) of body mass were also respectively associated with insulin (P=0.000 and P=0.000) and hsCRP (P=0.05 and P=0.009) concentrations. Moreover, insulin levels correlated positively with glucose levels estimated by the BIA-ACC apparatus (P=0.000). All the above statistical analyses are adjusted for sex and Tanner pubertal stages.
Conclusion: Body fat accumulation in children is associated with elevated inflammatory and metabolic syndrome markers. Bioelectric impedance can be a direct screening and monitoring tool for the assessment of metabolic disorders in children and adolescents. Further studies are needed to evaluate the pathophysiologic mechanisms mediating these effects in children.
27 Sep 2018 - 29 Sep 2018